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The timely access to accurate traffic data is essential to the development of intelligent traffic systems. However, the existing traffic prediction methods cannot achieve satisfactory results, mainly because of three factors: the structure is too simple to extract deep features; many external factors are overlooks, such as weather and traffic incidents; the nonlinearity of traffic flow is not well handled. To solve the problem, this paper improves the deep belief network (DBN), a deep learning method, for accurate traffic prediction under poor weather. Firstly, the data of poor weather and traffic data were collected from IoV, rather than induction coils in traditional methods. Next, the support vector regression (SVR) was introduced to improve the classic DBN. In the improved DBN, the underlying structure is a traditional DBN that learns the key features of traffic data in an unsupervised manner, and the top layer is an SVR that performs supervised traffic prediction. To verify its effectiveness, the improved DBN was applied to predict the traffic data based on the traffic data from the control center of an expressway and the weather data from local monitoring stations, in comparison with the autoregressive integrated moving average (ARIMA) model and the traditional neural network. The experimental results show that the improved DBN controlled the traffic prediction error within 9%, and maintained good robustness despite the extension of the time interval. To sum up, this paper provides an effective way to predict traffic flow under poor weather, shedding new light on the application of deep learning in traffic prediction.

旨在为亚麻籽蛋白的深加工利用提供参考，以低温压榨亚麻籽饼为原料，采用碱溶酸沉法制备亚麻籽蛋白，再采用酶解法制备亚麻籽蛋白酶解肽。采用超滤分离降胆固醇活性最高的亚麻籽蛋白酶解肽，并以其为原料进行动物实验探究其降胆固醇作用。结果表明：在酶解时间为4 h时，亚麻籽蛋白酶解肽的胆固醇胶束溶解度抑制率最高，为47.57%；分子质量不大于3 kDa的超滤组分的胆固醇胶束溶解度抑制率最高，为70.96%；与高胆固醇饮食组相比，亚麻籽蛋白酶解肽不大于3 kDa的超滤组分能够增加小鼠的摄食量和体质量，降低血清总胆固醇（TC）、甘油三酯（TG）、低密度脂蛋白胆固醇（LDL-C）水平，提高血清高密度脂蛋白胆固醇（HDL-C）水平，降低肝脏指数和肝脏中TC、TG水平，改善肝脏脂肪变性程度，增加粪便总胆汁酸（TBA）的排泄量，并且可以通过降低丙二醛（MDA）水平，提高超氧化物歧化酶（SOD）活力来减轻高胆固醇饮食导致的氧化应激反应。综上，亚麻籽蛋白酶解肽不大于3 kDa的超滤组分具有一定的降胆固醇作用，有望成为新型的降胆固醇功能性成分。To provide a reference for the deep processing and utilization of flaxseed protein, the flaxseed protein was prepared by alkali-soluble and acid-precipitation method from low-temperature pressed flaxseed cake, and then the flaxseed peptides were prepared by enzymatic hydrolysis. Ultrafiltration membranes were used to isolate flaxseed peptides with the highest cholesterol-lowering activity in vitro, and animal experiments were conducted to explore its cholesterol-lowering effects. The results showed that when the enzymatic hydrolysis time was 4 h, the cholesterol micelle solubility inhibition rate of flaxseed peptide was the highest (47.57%), and the cholesterol micelle solubility inhibition rate of the ultrafiltration fraction with a molecular weight of no more than 3 kDa was the highest (70.96%). Compared with the high-cholesterol diet group, the ultrafiltration fraction(≤3 kDa ) could increase the food intake and body weight of mice, reduce the serum total cholesterol (TC), triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C) levels, increase the serum high-density lipoprotein cholesterol (HDL-C) level, reduce liver index and TC and TG levels in the liver, improve the degree of hepatic steatosis, increase fecal total bile acid (TBA) excretion, and reduce the oxidative stress caused by high-cholesterol diet by reducing malondialdehyde (MDA) level and increasing superoxide dismutase (SOD) activity. In conclusion, the ultrafiltration fraction (≤3 kDa )of flaxseed peptides has a certain cholesterol-lowering effect, and is expected to become a new cholesterol-lowering functional component.

As dangerous chemicals have the attribute of potential risks, in the logistics and storage process, we need to ensure their safety, therefore, it is of great practical significance and guiding significance to study the layout planning of logistics ports for dangerous chemicals. This paper first takes the logistics ports layout for dangerous chemicals on the main line of Yangtze River as an example, uses regression analysis to analyze the relationship between the throughput of dangerous goods on the main line of Yangtze River and the GDP, so as to obtain reliable prediction of total throughput of dangerous goods in ports on the main line of Yangtze River. Second, this paper comprehensively considers the predicted throughput of dangerous goods in ports on the main line of Yangtze River and the influencing factors of port logistics layout, and then formulates three logistics ports layout plans for the dangerous goods in ports on the main line of Yangtze River. Finally, this paper optimizes and selects three plans according to the actual situation, and the final plan for logistics ports layout of dangerous chemicals on the main line of Yangtze River is obtained. This provides important theoretical analysis basis for improving the efficiency of logistics transportation of dangerous goods on the main line of Yangtze River and achieving sustainable development.

Fast, low-cost and high-efficiency are the core competitiveness of shipping companies in international marine transportation. To better guide shipping companies to optimize freight pricing under the dynamic environment of supply chain, this paper carries out freight pricing research based on supply chain management. It takes the container liners of shipping companies as the research object. From the perspective of supply chain analysis and based on factors affecting the pricing of shipping companies, it completes the mathematical simulation of the freight pricing mechanism of shipping companies; from the aspects of customer group and order time in supply chain management, this paper establishes the discriminatory pricing and multi-stage dynamic pricing models for market segments respectively, and verifies the validity of the models by examples. The model solution results show that discriminatory pricing and multi-stage dynamic pricing can assist shipping companies to optimize freight pricing and maximize the company's revenue. The research is of guiding significance for guiding shipping companies to cope with the contradiction between supply and demand in the market and to improve their competitiveness in the international container liner shipping market. [ABSTRACT FROM AUTHOR]

This paper aims to create an efficient container yard management system. For this purpose, a gantry crane management subsystem was designed and implemented for container information management based on the wireless sensor network (WSN). The system consists of a set of desktop management software and three different types sensor nodes, and locates the container via the two-way symmetrical time-of-arrival (TS-TOA) positioning approach. In this way, the subsystem enhances the accuracy of container positioning without elevating hardware cost. Through the implementation of the hardware and software systems, it is proved that the user can successfully locate the container, read and update cargo information, and complete similar operations through human-computer interaction in the desktop management software. Overall, this research greatly improves the efficiency of container management at the port, and helps to reduce the operational cost and port congestion. [ABSTRACT FROM AUTHOR]